Overview

The projects are connected by a local-first approach to AI, automation, and developer infrastructure. Some are public tools, some are applied AI work, and some support sensitive legal and family-law workflows.

Capability Areas

  • Security / Runtime: Secrets Kit keeps API keys, passwords, and tokens out of .env files, shell history, argv, and launchd plists.
  • Operations / Infrastructure: LLM Ops Kit supports running, deploying, debugging, and maintaining self-hosted AI stacks.
  • Developer Tooling: UnicodeFix cleans AI-generated text for code, docs, posts, and workflows that need plain ASCII.
  • Operator Interfaces: LocalOps UI Kit provides Python-first UI contracts, native browser components, and Textual/Rich renderers for local-first tools without a frontend build pipeline.
  • Architecture and Refactoring Review: Code Analysis Suite turns source structure into retained evidence, dependency views, comparisons, and review artifacts, with a working CLI and beta WebUI.
  • Applied AI: Case Analytics applies AI and data analysis to sensitive legal and family-law documents.
  • Model Engineering: Current Apple Silicon model-conversion and inference-performance work is moving into MLX Forge, which remains private while it clears its initial milestones.

Together, these form a practical ecosystem: secure runtime handling, local operations, developer utilities, and applied analysis for sensitive data.

Internal Projects

Internal projects focus on applied AI for sensitive documents, including legal case materials, interpersonal communications, and family-law analysis. Parental alienation detection remains an important specialized vertical.

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Case Analytics

AI-powered analysis tool for legal case documents, focusing on parental alienation detection and pattern recognition in high-conflict divorce cases.

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Parental Alienation Awareness

Parental Alienation Awareness: A data-driven look at the scope, impact, and damage to children, families, and society.

Open Source Projects

Open-source projects support the broader local-first stack: secrets hygiene, AI operations, text cleanup, model runtimes, environment management, and developer automation.

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LogGPT and LogGPT Plus

Safari extension for exporting ChatGPT conversations as JSON, with an optional Plus upgrade that preserves generated and uploaded artifacts in a ZIP archive.

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UnicodeFix

Evidence-based local audit and safe cleanup for hidden Unicode, provenance, and configured watermark signals.

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Secrets Kit

Secrets Kit 2.0.2 is available: free, unlimited LAN peer-to-peer secrets management, with optional paid Remote Secret Sync across networks.

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LLM Ops Kit

Operational toolkit for running, deploying, debugging, and maintaining self-hosted AI stacks across hosts.

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Extract Chat

Extract ChatGPT sessions from downloaded JSON into HTML and Markdown with metadata, also chunking for ML pipeline.

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WebReader for Safari

A local-first Safari extension that reads selected text or complete articles aloud through your own text-to-speech system.

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LocalOps UI Kit

Python-first operator interfaces for local-first applications, with native browser components and Textual/Rich renderers. No Node or frontend build pipeline required.

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Code Analysis Suite

Local, evidence-backed architecture analysis for Python, JavaScript/JSX, and Ruby. Retain reports, inspect dependencies and change impact, and compare findings before refactoring. WebUI in beta.

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ConnectomeAI

ConnectomeAI: experiments in mapping and orchestrating AI tools, workflows, and knowledge graphs.

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VenvUtil

Python virtual environment management functions and script to build and manage performance, compatibility, and regression test venv builds mostly for AI

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TorchDevice

Module contains class TorchDevice abstracting CUDA/MPS/CPU, intercepting, and redirecting calls to the available device to assist in porting code from CUDA to MPS.

More to come

More demos and how-to material are planned for local AI setup, secure automation, speech-to-text processing, and communication analysis. The goal is to show both what I can build and what you can run locally yourself.